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Senior, specialized ML/AI role with niche skills and high experience requirement reduces applicant density.
Role requires deep ML/AI, optimization and MLOps expertise limiting cross-industry transferability.
Explicit 11+ years, specialized ML/AI, MLOps and generative-AI skills enforce strict candidate filters.
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Convert client business use cases and technical requirements into technical designs focused on predictive modeling and data science solutions.
Define and review architecture and design documents ensuring scalability, security, and best practices are met for data science projects on cloud platforms.
Lead solution design including technology selection and frameworks implementation, and conduct POCs to validate design and technology choices.
Minimum 11 years total work experience.
Hands-on experience in data science with predictive modeling techniques such as statistical analysis, regression, and optimization.
Strong expertise with Python (and/or R) and libraries like Pandas, NumPy, Scikit-learn; experience with cloud platforms (GCP, AWS, Azure) and deployment of data solutions on cloud.
Bachelor’s or master’s degree in computer science, IT, or a related field.
Experienced in integrating machine learning, mathematical optimization, and NLP techniques with practical deployment on cloud ecosystems.
Proficient in MLOps principles including CI/CD, monitoring, and model lifecycle management to support scalable production solutions.
Familiarity and hands-on experience with Generative AI fundamentals, frameworks like RAG, Lang Chain, Llama Index, and prompt engineering for advanced AI applications.